Update app.py

app.py

@@ -35,16 +35,7 @@ from langchain.chains import ConversationalRetrievalChain
 from templates import css, bot_template, user_template
 from io import BytesIO
 from contextlib import redirect_stdout
-# code import tests
-import seaborn
-import plotly
-import vega_datasets
-import bokeh
-import holoviews
-import plotnine
-import graphviz
-import tensorflow
-import torch
+
 
 # set page config once
 st.set_page_config(page_title="Python AI Pair Programmer", layout="wide")
@@ -220,105 +211,85 @@ def link_button_with_emoji(url, title, emoji_summary):
     random_emoji = random.choice(emojis)
     st.markdown(f"[{random_emoji} {emoji_summary} - {title}]({url})")
 
+    
+# Python parts and their corresponding emojis, with expanded details
 python_parts = {
-    "Syntax": {"emoji": "✏️", "details": "Variables, Comments, Printing"},
-    "Data Types": {"emoji": "📊", "details": "Numbers, Strings, Lists, Tuples, Sets, Dictionaries"},
-    "Control Structures": {"emoji": "🔁", "details": "If, Elif, Else, Loops, Break, Continue"},
-    "Functions": {"emoji": "🔧", "details": "Defining, Calling, Parameters, Return Values"},
-    "Classes": {"emoji": "🏗️", "details": "Creating, Inheritance, Methods, Properties"},
-    "API Interaction": {"emoji": "🌐", "details": "Requests, JSON Parsing, HTTP Methods"},
-    "Data Visualization Libraries1": {"emoji": "📈", "details": "matplotlib"},
-    "Data Visualization Libraries2": {"emoji": "📈", "details": "seaborn"},
-    "Data Visualization Libraries3": {"emoji": "📈", "details": "plotly"},
-    "Data Visualization Libraries4": {"emoji": "📈", "details": "altair"},
-    "Data Visualization Libraries5": {"emoji": "📈", "details": "bokeh"},
-    "Data Visualization Libraries6": {"emoji": "📈", "details": "pydeck"},
-    "Data Visualization Libraries7": {"emoji": "📈", "details": "holoviews"},
-    "Data Visualization Libraries8": {"emoji": "📈", "details": "plotnine"},
-    "Data Visualization Libraries9": {"emoji": "📈", "details": "graphviz"},
-    "Error Handling": {"emoji": "⚠️", "details": "Try, Except, Finally, Raising"},
-    "Scientific & Data Analysis Libraries": {"emoji": "🧪", "details": "Numpy, Pandas, Scikit-Learn, TensorFlow, SciPy, Pillow"},
-    "Advanced Concepts": {"emoji": "🧠", "details": "Decorators, Generators, Context Managers, Metaclasses, Asynchronous Programming"},
-    "Web & Network Libraries": {"emoji": "🕸️", "details": "Flask, Django, Requests, BeautifulSoup, HTTPX, Asyncio"},
-    "Streamlit & Extensions1": {"emoji": "💡", "details": "Streamlit"},
-    "Streamlit & Extensions2": {"emoji": "💡", "details": "Streamlit-AgGrid"},
-    "Streamlit & Extensions3": {"emoji": "💡", "details": "Streamlit-Folium"},
-    "Streamlit & Extensions4": {"emoji": "💡", "details": "Streamlit-Pandas-Profiling"},
-    "Streamlit & Extensions5": {"emoji": "💡", "details": "Streamlit-Vega-Lite, Gradio"},
-    "Gradio": {"emoji": "💡", "details": "gradio"},
-    "File Handling & Serialization": {"emoji": "📁", "details": "PyPDF2, Pytz, Json, Base64, Zipfile, Random, Glob, IO"},
-    "Machine Learning & AI": {"emoji": "🤖", "details": "OpenAI, LangChain, HuggingFace"},
-    "Text & Data Extraction": {"emoji": "🔍", "details": "TikToken, Textract, SQLAlchemy, Pillow"},
-    "XML & Collections Libraries": {"emoji": "📚", "details": "XML, Collections"},
-    "Top PyPI Libraries1": {"emoji": "🏆", "details": "Requests, Pillow, SQLAlchemy, Flask, Django, SciPy, Beautiful Soup, PyTest, PyGame, Twisted"},
-    "Top PyPI Libraries2": {"emoji": "🏆", "details": "numpy, pandas, matplotlib, requests, beautifulsoup4"},
-    "Top PyPI Libraries3": {"emoji": "🏆", "details": "langchain, openai, PyPDF2, pytz"},
-    "Top PyPI Libraries4": {"emoji": "🏆", "details": "streamlit, audio_recorder_streamlit, gradio"},
-    "Top PyPI Libraries5": {"emoji": "🏆", "details": "tiktoken, textract, glob, io"},
-    "Top PyPI Libraries6": {"emoji": "🏆", "details": "matplotlib, seaborn, plotly, altair, bokeh, pydeck"},
-    "Top PyPI Libraries7": {"emoji": "🏆", "details": "streamlit, streamlit-aggrid, streamlit-folium, streamlit-pandas-profiling, streamlit-vega-lite"},
-    "Top PyPI Libraries8": {"emoji": "🏆", "details": "holoviews, plotnine, graphviz"},
-    "Top PyPI Libraries9": {"emoji": "🏆", "details": "json, base64, zipfile, random"},
-    "Top PyPI Libraries10": {"emoji": "🏆", "details": "httpx, asyncio, xml, collections, huggingface "}
+    "Syntax": "✏️",
+    "Data Types": "📊",
+    "Control Structures": "🔁",
+    "Functions": "🔧",
+    "Classes": "🏗️",
+    "API Interaction": "🌐",
+    "Data Visualization": "📈",
+    "Error Handling": "⚠️",
+    "Libraries": "📚"
 }
 
+python_parts_extended = {
+    "Syntax": "✏️ (Variables, Comments, Printing)",
+    "Data Types": "📊 (Numbers, Strings, Lists, Tuples, Sets, Dictionaries)",
+    "Control Structures": "🔁 (If, Elif, Else, Loops, Break, Continue)",
+    "Functions": "🔧 (Defining, Calling, Parameters, Return Values)",
+    "Classes": "🏗️ (Creating, Inheritance, Methods, Properties)",
+    "API Interaction": "🌐 (Requests, JSON Parsing, HTTP Methods)",
+    "Data Visualization": "📈 (Matplotlib, Seaborn, Plotly)",
+    "Error Handling": "⚠️ (Try, Except, Finally, Raising)",
+    "Libraries": "📚 (Numpy, Pandas, Scikit-Learn, TensorFlow)"
+}
 
+# Placeholder for chat responses and interactive examples
 response_placeholders = {}
 example_placeholders = {}
 
-def display_python_parts_old2():
+# Function to display Python concepts with expanders, examples, and quizzes
+def display_python_parts():
     st.title("Python Interactive Learning Platform")
-    
-    for part, content in python_parts.items():
-        with st.expander(f"{content['emoji']} {part} - {content['details']}", expanded=False):
+
+    for part, emoji in python_parts.items():
+        with st.expander(f"{emoji} {part} - {python_parts_extended[part]}", expanded=False):
+            # Interactive examples
             if st.button(f"Show Example for {part}", key=f"example_{part}"):
-                example = "Write short python script examples with mock data in python list dictionary for inputs for " + part
+                example = generate_example(part)
                 example_placeholders[part] = example
                 st.code(example_placeholders[part], language="python")
-                response = chat_with_model(f'Write python script with short code examples for: {content["details"]}', part)
-                response_placeholders[part] = response
-                st.write(f"#### {content['emoji']} {part} Example")
-                st.code(response_placeholders[part], language="python")
+                response = chat_with_model('Create a STEM related 3 to 5 line python code example with output for:' + example_placeholders[part], part)
 
+            # Quizzes
             if st.button(f"Take Quiz on {part}", key=f"quiz_{part}"):
-                quiz = "Write Python script quiz examples with mock static data inputs for " + part
-                response = chat_with_model(f'Write python code blocks for quiz program: {quiz}', part)
-                response_placeholders[part] = response
-                st.write(f"#### {content['emoji']} {part} Quiz")
-                st.code(response_placeholders[part], language="python")
+                quiz = generate_quiz(part)
+                response = chat_with_model(quiz, part)
 
-            prompt = f"Write python script with a few advanced coding examples using mock data input for {content['details']}"
+            # Chat responses
+            prompt = f"Learn about {python_parts_extended[part]}"
             if st.button(f"Explore {part}", key=part):
                 response = chat_with_model(prompt, part)
                 response_placeholders[part] = response
-                st.write(f"#### {content['emoji']} {part} Details")
-                st.code(response_placeholders[part], language="python")
-
 
-def display_python_parts():
-    st.title("Python Interactive Learning Platform")
-    for part, content in python_parts.items():
-        with st.expander(f"{content['emoji']} {part} - {content['details']}", expanded=False):
-            if st.button(f"Show Example for {part}", key=f"example_{part}"):
-                example = "Python script example with mock example inputs for " + part
-                example_placeholders[part] = example
-                st.code(example_placeholders[part], language="python")
-                response = chat_with_model('Create detailed advanced python script code examples for:' + example_placeholders[part], part)
-            if st.button(f"Take Quiz on {part}", key=f"quiz_{part}"):
-                quiz = "Python script quiz example with mock example inputs for " + part
-                response = chat_with_model(quiz, part)
-            prompt = f"Learn about advanced coding examples using mock example inputs for {content['details']}"
-            if st.button(f"Explore {part}", key=part):
-                response = chat_with_model(prompt, part)
-                response_placeholders[part] = response
+            # Display the chat response if available
             if part in response_placeholders:
                 st.markdown(f"**Response:** {response_placeholders[part]}")
 
+def generate_example(part):
+    # This function will return a relevant Python example based on the selected part
+    # Examples could be pre-defined or dynamically generated
+    return "Python example for " + part
+
+def generate_quiz(part):
+    # This function will create a simple quiz related to the Python part
+    # Quizzes could be multiple-choice questions, true/false, etc.
+    return "Python script quiz example for " + part
+                
+# Define function to add paper buttons and links
 def add_paper_buttons_and_links():
+    # Python Pair Programmer
     page = st.sidebar.radio("Choose a page:", ["Python Pair Programmer"])
     if page == "Python Pair Programmer":
+        # Display Python concepts and interactive sections
         display_python_parts()
 
+
+        
+
     col1, col2, col3, col4 = st.columns(4)
 
     with col1: